Service

Cross-sectional team Application Optimization

The cross-sectional team "Application Optimization" is responsible for the optimization and scaling of applications in terms of performance, efficiency and parallel I/O. We provide users with knowledge and proper tools sets for their work on the Jülich HPC systems. We strongly interact with the Simulation and Data Laboratories as well as the Cross-sectional teams "Methods and Algorithms" and "Performance Analysis".

Know-How and Focal Points

We are experienced in parallelisation libraries like MPI and OpenMP. We know about specialities of the local HPC systems and this makes it possible for us to guide the users in optimization strategies on the Jülich systems, e.g. for compiler and memory usage, task mapping, and I/O.

We collaborate with users in the need of on-demand support, but we also offer close long-term collaborations with user projects to optimize their applications on the Jülich HPC systems, e.g. to implement parallel I/O or a hybrid parallelisation.

We focus on assisting users to choose optimal parameters for their simulations, this leads to our interest in benchmarking:

We monitor and benchmark standard simulation software packages.

We perform evaluations and parameter studies of selected user applications.

We benchmark new architectures and develop system benchmarks.

With this work we also assist the system administrators in evaluating the system behaviour.

Training

We emphasize on equipping users with knowledge for their usage of HPC systems: